Audible会員は対象作品が聴き放題、2か月無料体験キャンペーン中

  • Once Upon an Algorithm

  • How Stories Explain Computing
  • 著者: Martin Erwig
  • ナレーター: Walter Dixon
  • 再生時間: 10 時間 48 分

Audible会員プラン 無料体験

2024年5月9日まで2か月無料体験キャンペーン中!詳細はこちらをご確認ください
会員は12万以上の対象作品が聴き放題、アプリならオフライン再生可能
プロの声優や俳優の朗読も楽しめる
Audibleでしか聴けない本やポッドキャストも多数
無料体験終了後は月会費1,500円。いつでも退会できます
『Once Upon an Algorithm』のカバーアート

Once Upon an Algorithm

著者: Martin Erwig
ナレーター: Walter Dixon
2か月間の無料体験を試す

無料体験終了後は月額¥1,500。いつでも退会できます。

¥ 2,200 で購入

¥ 2,200 で購入

下4桁がのクレジットカードで支払う
ボタンを押すと、Audibleの利用規約およびAmazonのプライバシー規約同意したものとみなされます。支払方法および返品等についてはこちら

あらすじ・解説

How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing.

Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.

Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter's world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching.

Along the way, Erwig also discusses representations and different ways to organize data; "intractable" problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.

©2017 Massachusetts Institute of Technology (P)2018 Tantor

同じ著者・ナレーターの作品

Once Upon an Algorithmに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。